> many devs don't see any speed advantage for complex work
Swarms don't necessarily need to be about speed. You can get a lot of value from small swarms doing things like analysis or verification work.
Swarms don't necessarily need to be about speed. You can get a lot of value from small swarms doing things like analysis or verification work.
But I think many people are still missing the point about how AI systems should learn. Arguably, with people we tend to hire and "grow" in-house experts as opposed to outsourcing everything, so why shouldn't we build a system that learns from experience, from its failures?
At first I thought the key was in skills, but skills are static, while you need a continuously learning system
Even if you have a basic skill-based workflow, a rudimentary retrospective > process improvements artifact that can be ingested on the next run can have a positive impact.